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Multiple Descents in Deep Learning Linked to Order-Chaos Transitions in LSTM Networks, New Research Shows Technology
Artificial Intelligence #deep learning#lstm

Multiple Descents in Deep Learning Linked to Order-Chaos Transitions in LSTM Networks, New Research Shows

Researchers have observed a 'multiple-descent' phenomenon in LSTM networks, where test performance cycles through ups and downs after overtraining. Asymptotic stability analysis reveals these cycles are linked to order-chaos phase transitions, with the most optimal training step at the first transition from order to chaos, where the 'edge of chaos' is widest.

Jun 16, 2026 1 source